6 papers
Closed-Form Nonlocal Shrinkage for Multiplicative Image Denoising and SAR Despeckling
Xuran Hu, Mingzhe Zhu, Djordje Stanković +4
Multiplicative noise poses a challenge in coherent and signal-dependent imaging owing to its intensity-dependent variance and frequently non-Gaussian distribution. We propose a det…
-Bridge: A Look-Parametric Diffusion Bridge
Xuran Hu, Yujie Zhu, Tengxi Wang +2
Multiplicative Gamma noise is a signal-dependent degradation in coherent imaging; synthetic aperture radar (SAR) despeckling is its most prominent real-world instance. Existing dif…
GeoHeight-Bench: Towards Height-Aware Multimodal Reasoning in Remote Sensing
Xuran Hu, Zhitong Xiong, Zhongcheng Hong +3
Current Large Multimodal Models (LMMs) in Earth observation are predominantly evaluated on planar optical tasks and often neglect the vertical dimension, although vertical geometri…
SAR Despeckling via Region-Aware Sparse Representation and Statistical Noise Approximation
Xuran Hu, Mingzhe Zhu, Djordje Stanković +3
Synthetic Aperture Radar (SAR) imagery are widely utilized in remote sensing due to their all-weather, all-day imaging capabilities. However, SAR images are highly susceptible to n…
Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks
Xuran Hu, Mingzhe Zhu, Zhenpeng Feng +2
The inherent "black box" nature of deep neural networks (DNNs) compromises their transparency and reliability. Recently, explainable AI (XAI) has garnered increasing attention from…
Multi-task SAR Image Processing via GAN-based Unsupervised Manipulation
Xuran Hu, Mingzhe Zhu, Ziqiang Xu +2
Generative Adversarial Networks (GANs) have shown tremendous potential in synthesizing a large number of realistic SAR images by learning patterns in the data distribution. Some GA…